Company

Sales And Business DevelopmentSee more

addressAddressCupertino, CA
CategoryInformation Technology

Job description

In this role, you will focus on the following key areas: - You’ll be working in a team of machine learning engineers of different specializations to prototype and ship world class algorithms that are state of the art. - Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields, including multi modal capabilities. - Lead MLOps, automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI models. - Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both. - Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results. - Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience. - Actively engaging in all aspects of model development, from ideation and experimentation to deployment. - Communicate results of analyses to business partners and executives. - Maintain expertise in the latest advancements in AI technology. Partner with your team members to prepare presentations, papers, and patents for your inventions. - Proactively address and reduce potential biases in model predictions, ensuring our products are inclusive and fair. - Design and implement efficient data pipelines to support Large Language model training and inference.

Request

  • Experience in identifying and delivering state-of-the-art product architecture for our end to end solutions.
  • 5+ years building NLP/AI software professionally and successfully releasing to customers.
  • 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
  • Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
  • Experience with Cloud technologies and familiarity with AWS & GCP.
  • Familiarity with deploying model for large scale inferencing & optimizations.
  • Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
  • A strong track record of shipping products and publications / patents.
  • Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
  • A thought leader having a good balance of business acumen, domain and technical expertise.
  • Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.
Refer code: 9123881. Sales And Business Development - The previous day - 2024-04-23 07:58

Sales And Business Development

Cupertino, CA
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